Triple

T20901078
Position Surface form Disambiguated ID Type / Status
Subject Teen Titans: The Judas Contract (film) E514667 entity
Predicate voiceCastMember P9616 FINISHED
Object Brandon Soo Hoo NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Brandon Soo Hoo | Statement: [Teen Titans: The Judas Contract (film), voiceCastMember, Brandon Soo Hoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandon Soo Hoo
Context triple: [Teen Titans: The Judas Contract (film), voiceCastMember, Brandon Soo Hoo]
  • A. Brandon Soo Hoo chosen
    Brandon Soo Hoo is an American actor known for his roles in film and television, particularly in action and genre series.
  • B. Hancock Lee
    Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
  • C. Eddie Kim
    Eddie Kim is the ruthless crime boss and primary antagonist in the action-thriller film "Snakes on a Plane," responsible for orchestrating the deadly snake attack aboard the aircraft.
  • D. Hoon Lee
    Hoon Lee is an American actor and voice actor known for roles in series like Banshee and for voicing characters in animated shows and video games.
  • E. Hau Lee
    Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fc5d488190b62f51c35e768d38 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.